Zobrazeno 1 - 10
of 421
pro vyhledávání: '"Ding, Jiaqi"'
Although modern imaging technologies allow us to study connectivity between two distinct brain regions in-vivo, an in-depth understanding of how anatomical structure supports brain function and how spontaneous functional fluctuations emerge remarkabl
Externí odkaz:
http://arxiv.org/abs/2409.17510
Autor:
Ding, Jiaqi, Dan, Tingting, Wei, Ziquan, Cho, Hyuna, Laurienti, Paul J., Kim, Won Hwa, Wu, Guorong
An unprecedented amount of existing functional Magnetic Resonance Imaging (fMRI) data provides a new opportunity to understand the relationship between functional fluctuation and human cognition/behavior using a data-driven approach. To that end, tre
Externí odkaz:
http://arxiv.org/abs/2409.11377
Autor:
Dan, Tingting, Ding, Jiaqi, Wei, Ziquan, Kovalsky, Shahar Z, Kim, Minjeong, Kim, Won Hwa, Wu, Guorong
Graph neural networks (GNNs) are widely used in domains like social networks and biological systems. However, the locality assumption of GNNs, which limits information exchange to neighboring nodes, hampers their ability to capture long-range depende
Externí odkaz:
http://arxiv.org/abs/2307.00222
Publikováno v:
In International Journal of Biological Macromolecules November 2024 280 Part 4
Publikováno v:
In Ocean Engineering 15 October 2024 310 Part 2
Publikováno v:
In Ocean Engineering 1 October 2024 309 Part 1
Publikováno v:
In Applied Ocean Research September 2024 150
Publikováno v:
In Separation and Purification Technology 18 December 2024 350
Autor:
Li, Weili, Ding, Jiaqi, Chen, Silin, Chen, Jiangning, Wang, Chen, Li, Jiaxin, Shi, Huanhuan, Yin, Xiaojiao, Wang, Jin, Liu, Jiachen, Song, Huichen, Zhou, Zhen, Jiang, Xiaohong, Jiang, Wantong, Jiang, Yufei, Cao, Mingxi, Li, Botao, Li, Jing, Li, Liang, Zhang, Yujing
Publikováno v:
In Journal of Controlled Release December 2024 376:123-137
Multi-task regression attempts to exploit the task similarity in order to achieve knowledge transfer across related tasks for performance improvement. The application of Gaussian process (GP) in this scenario yields the non-parametric yet informative
Externí odkaz:
http://arxiv.org/abs/2109.09261